期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Application of sodium alginate microspheres in ischemic stroke modeling in miniature pigs 被引量:2
1
作者 Yongchun Cui Yi Tian +7 位作者 Yue Tang liujun jia Aili Wu Peng Peng jianzhong Yang Hong Du Xiaojuan Wang Like Wu 《Neural Regeneration Research》 SCIE CAS CSCD 2013年第16期1473-1480,共8页
The miniature pig is an optimal animal model for studying nervous system disease because of its physiologic and pathologic features. However, the rete mirabile composed of arteries and veins at the skull base limits t... The miniature pig is an optimal animal model for studying nervous system disease because of its physiologic and pathologic features. However, the rete mirabile composed of arteries and veins at the skull base limits their application as a model of ischemic stroke by middle cerebral artery occlusion. The present study investigated the possibility of establishing an ischemic stroke model in the miniature pig by blocking the skull base retia with sodium alginate microspheres. Three Bama miniature pigs were used. Using the monitor of C-arm X-ray machine, sodium aiginate microspheres (100-300 pm), a novel embolic material, were injected through the femoral artery, aortic arch, common carotid artery, ascending pharyngeal artery and the retia. Results were evaluated using carotid arteriography, MRI, behavior observation and histology. The unilateral rete mirabile was completely blocked, resulting in disturbance in blood supply to the basal ganglia, astasia of the dght hind limb and salivation. MRI and hematoxylin-eosin staining showed an evident infarction focus in the basal ganglia. These findings indicate that sodium alginate microspheres are a suitable embolic material for blocking the skull base retia in miniature pigs to establish an ischemic stroke models. 展开更多
关键词 neural regeneration brain injury stroke miniature pig sodium alginate microsphere basilar bloodvessels middle cerebral artery grants-supported paper NEUROREGENERATION
暂未订购
枣醋发酵液中还原糖含量和酒精度的可见–近红外高光谱快速定量分析
2
作者 蒋慧霞 贾柳君 +3 位作者 张海红 吴宝婷 李冬冬 李子文 《农业科学》 2018年第4期322-329,共8页
本文利用可见–近红外高光谱检测技术对枣醋发酵过程中还原糖含量和酒精度进行了定量分析,并通过偏最小二乘法(PLS)建立定量分析模型,同时采用无信息变量消除法(UVE)、竞争性自适应加权算法(CARS)和遗传算法(GA)对整个谱区进行光谱特征... 本文利用可见–近红外高光谱检测技术对枣醋发酵过程中还原糖含量和酒精度进行了定量分析,并通过偏最小二乘法(PLS)建立定量分析模型,同时采用无信息变量消除法(UVE)、竞争性自适应加权算法(CARS)和遗传算法(GA)对整个谱区进行光谱特征波长变量筛选,以决定系数(R2)、预测标准偏差(RMSEP)、相对分析误差(RPD)以及最佳主因子数作为模型质量的评价指标。其中用CARS法挑选波长后对模型的优化效果最佳,还原糖含量和酒精度CARS-PLS模型的R2分别达到0.9045和0.8993,RMSEP为1.3635和1.2878,RPD为3.24和3.58,最佳主因子数为7和8。结果表明:进行变量筛选可提高枣醋酿造过程中还原糖含量和酒精度模型准确度和稳定性,降低解析难度,达到优化模型的作用,可见–近红外高光谱检测技术可实现枣醋发酵液中还原糖含量和酒精度的快速、定量、精确分析。 展开更多
关键词 枣醋 高光谱检测技术 定量分析 还原糖 酒精度
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部